L. Le

Applied Sciences · with Dou · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom L. Le trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Julian D. Olden
  2. Hoang Nguyen
  3. Dervis Karaboga
  4. R. Eberhart
  5. Athanasios Tsanas
  6. Panagiotis G. Asteris
  7. Donald A. Jackson
  8. James Kennedy
  9. Angeliki Xifara
  10. M. Joy

Papers from L. Le's perspective

Ordered by how strongly the researchers L. Le trusts endorse each paper. Same corpus, a different order for every researcher.

  1. An Introduction to Genetic Algorithms.
  2. Illuminating the “black box”: a randomization approach for understanding variable contributions in artificial neural networks
  3. An accurate comparison of methods for quantifying variable importance in artificial neural networks using simulated data
  4. AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION
  5. Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition (IEEE Congress on Evolutionary Computation)
  6. Support vector regression approach with different kernel functions for predicting blast-induced ground vibration: a case study in an open-pit coal mine of Vietnam (SN Applied Sciences)
  7. A new optimizer using particle swarm theory
  8. Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools
  9. Prediction of self-compacting concrete strength using artificial neural networks
  10. Genetic Algorithms in Search Optimization and Machine Learning

Their papers